AI/ML Intern

SKIGIT PLACEMENT

Job Title: AI/ML Intern
Location: Thane, Maharashtra, India

Interview Address:
SKIGIT Placement | RKDEMY House, 2nd Floor, New Matruvandana Society, Opp. Shivam Hotel, Sudarshan Colony, Thane East - 400603

Interview Time: 12:30 PM (Walk-in Interview, Monday to Saturday)

About the Role

We are seeking a passionate and motivated AI/ML Intern to join our technology team in Thane. This internship offers hands-on experience in developing, training, and deploying machine learning models, along with opportunities to work on full-stack integration and cloud-based deployment. You’ll get exposure to real-world projects, mentorship from experts, and the chance to sharpen both AI/ML and software development skills.

Key Responsibilities:-

• Design, develop, and fine-tune AI/ML models for real-world applications.
• Work with Python, TensorFlow, and PyTorch to build intelligent systems.
• Implement similarity-based retrieval tasks using Faiss.
• Integrate ML models into backend services using Django REST Framework (DRF).
• Collaborate with front-end developers (HTML, CSS, JavaScript) for seamless product integration.
• Manage MySQL databases and Redis caching systems.
• Support application deployment, testing, and monitoring on AWS Cloud.
• Assist with debugging, performance optimization, and continuous pipeline improvements.

Requirements:-

• Currently pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, AI, ML, Data Science, or related fields.
• Strong programming skills in Python.
• Basic knowledge of machine learning concepts and hands-on experience with TensorFlow/PyTorch.
• Familiarity with Django REST Framework (DRF).
• Working knowledge of MySQL, Redis, and Faiss.
• Basic front-end skills: HTML, CSS, JavaScript.
• Exposure to AWS services (EC2, S3, Lambda, etc.) is a plus.
• Eager to learn, self-motivated, and enthusiastic about solving technical challenges.

What You’ll Gain:-

• Hands-on experience with AI/ML projects and real-world applications.
• Exposure to full-stack development and cloud deployment.
• Mentorship from experienced developers and data scientists.
• Opportunity to work in a fast-paced, innovative environment.

For more information:
Hr Sachin: +91 9930927871 (Call & WhatsApp)Email: fresher@rkdemy.com

Job Types: Full-time, Permanent, Fresher

Work Location: In person